End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/swinv2-large-patch4-window12-192-22k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: swinv2-plantclef
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# swinv2-plantclef
+
+This model is a fine-tuned version of [microsoft/swinv2-large-patch4-window12-192-22k](https://huggingface.co/microsoft/swinv2-large-patch4-window12-192-22k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7612
+- Accuracy: 0.7096
+- F1: 0.7075
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 16
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|:------:|
+| 1.8047        | 1.0   | 19801  | 1.6662          | 0.5999   | 0.5944 |
+| 1.4078        | 2.0   | 39602  | 1.4697          | 0.6442   | 0.6393 |
+| 1.0698        | 3.0   | 59403  | 1.3977          | 0.6636   | 0.6606 |
+| 0.8149        | 4.0   | 79204  | 1.3933          | 0.6759   | 0.6724 |
+| 0.5556        | 5.0   | 99005  | 1.4412          | 0.6780   | 0.6760 |
+| 0.4028        | 6.0   | 118806 | 1.5032          | 0.6806   | 0.6785 |
+| 0.2776        | 7.0   | 138607 | 1.5777          | 0.6808   | 0.6791 |
+| 0.1973        | 8.0   | 158408 | 1.6136          | 0.6852   | 0.6834 |
+| 0.1357        | 9.0   | 178209 | 1.6761          | 0.6858   | 0.6836 |
+| 0.0892        | 10.0  | 198010 | 1.7073          | 0.6897   | 0.6879 |
+| 0.0673        | 11.0  | 217811 | 1.7313          | 0.6930   | 0.6913 |
+| 0.0522        | 12.0  | 237612 | 1.7440          | 0.6976   | 0.6958 |
+| 0.0263        | 13.0  | 257413 | 1.7616          | 0.7007   | 0.6987 |
+| 0.0181        | 14.0  | 277214 | 1.7694          | 0.7038   | 0.7019 |
+| 0.0163        | 15.0  | 297015 | 1.7671          | 0.7076   | 0.7057 |
+| 0.01          | 16.0  | 316816 | 1.7612          | 0.7096   | 0.7075 |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.0
+- Datasets 3.1.0
+- Tokenizers 0.20.1

model.safetensors

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+size 828865536

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 192,
+    "width": 192
+  }
+}

training_args.bin

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+size 5240